心理学 - - 一个多学科的框架,用于理解人工智能
Giuseppe Riva1,2, Fabrizia Mantovani3, Brenda K Wiederhold4,5
1Humane Technology Lab, Catholic University of Sacred Heart, Milan, Italy.
Cyberpsychology, behavior and social networking
|August 29, 2024
概括
本研究介绍了心理学,这是一个比较大型语言模型 (LLM) 和人类认知的框架. 它发现,法学士在语言模式方面表现出色,但缺乏人类体验和体现的理解.
科学领域:
- 认知科学 认知科学
- 语言学的语言学.
- 计算机科学 计算机科学
背景情况:
- 大型语言模型 (LLM) 表现出类似人类的认知技能,但以不同的方式处理信息.
- 了解这些差异对于推进人工智能 (AI) 和认知科学至关重要.
研究的目的:
- 介绍心理学,一个多学科的框架来比较LLM和人类认知.
- 研究LLM如何获取,学习,记忆和利用信息.
- 探索人类和法学士之间语言发展和使用的差异.
主要方法:
- 采用LLM与生物系统之间的比较方法.
- 分析法学士在绘制语言模式和遵守沟通原则的能力.
- 将LLM处理与人类认知的依赖于体验,情感和想象方面的依赖进行对比.
主要成果:
- 从培训数据中,LLM有效地绘制和操纵语言模式.
- 对于相关的响应,LLM可以遵循Grice的合作原则.
- 人类的认知整合了语言处理之外的体验,情感和想象元素,而LLM目前缺乏这些元素.
结论:
- 由于缺乏体现和多面意义集成,LLM与人类认知有所不同.
- 精神病学为人工和生物智能提供了洞察力.
- 这个框架可以指导开发更类似人类的人工智能系统.
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